{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multiclass Support Vector Machine exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "In this exercise you will:\n",
    "    \n",
    "- implement a fully-vectorized **loss function** for the SVM\n",
    "- implement the fully-vectorized expression for its **analytic gradient**\n",
    "- **check your implementation** using numerical gradient\n",
    "- use a validation set to **tune the learning rate and regularization** strength\n",
    "- **optimize** the loss function with **SGD**\n",
    "- **visualize** the final learned weights\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mada/anaconda3/envs/py27/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
      "  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n"
     ]
    }
   ],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print 'Training data shape: ', X_train.shape\n",
    "print 'Training labels shape: ', y_train.shape\n",
    "print 'Test data shape: ', X_test.shape\n",
    "print 'Test labels shape: ', y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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dZ7jYPmnrtrFH5koetis8xTM4Hh4eHh4eHh4eHh4eIW4MBic0rIhBSGf6vq8s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VLHzcbmSzE48ozxhp+XWLsaFfwGPwK3gb/+VcvBwcHBwcHBwcHBweFHBO+w8QsODg4ODg4ODg4O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Rvzc5LjvXsM36CYzfY5yjo352XyvOoY/qU9hGfxf7m5rjmPVLNg78dOTxWUJKoa9nDIbI+llb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r9X4cP3O64dBUHuzaH3s3xnMSOmIYwj7SSo8rBoU4cMRWWfLkcsatdgDHWfxb7m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\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gtMjgr65g3CSsJjw7z0rQDTAivqbgRMxPIGvf5NjSLe72MpcYl/uL+8y1YW6GOrVFZKgK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vv/6U34Sli8i/vXQbqtfdZbT3iz8HVandRKROhvmi2emZx/TMx4dRcAwMDAwMDAwMDAwMDg2e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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f31cca55810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print 'Train data shape: ', X_train.shape\n",
    "print 'Train labels shape: ', y_train.shape\n",
    "print 'Validation data shape: ', X_val.shape\n",
    "print 'Validation labels shape: ', y_val.shape\n",
    "print 'Test data shape: ', X_test.shape\n",
    "print 'Test labels shape: ', y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print 'Training data shape: ', X_train.shape\n",
    "print 'Validation data shape: ', X_val.shape\n",
    "print 'Test data shape: ', X_test.shape\n",
    "print 'dev data shape: ', X_dev.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 130.64189796  135.98173469  132.47391837  130.05569388  135.34804082\n",
      "  131.75402041  130.96055102  136.14328571  132.47636735  131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f31c7e6fb10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print mean_image[:10] # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print X_train.shape, X_val.shape, X_test.shape, X_dev.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM Classifier\n",
    "\n",
    "Your code for this section will all be written inside **cs231n/classifiers/linear_svm.py**. \n",
    "\n",
    "As you can see, we have prefilled the function `compute_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 8.988205\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the naive implementation of the loss we provided for you:\n",
    "from cs231n.classifiers.linear_svm import svm_loss_naive\n",
    "import time\n",
    "\n",
    "# generate a random SVM weight matrix of small numbers\n",
    "W = np.random.randn(3073, 10) * 0.0001 \n",
    "\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.00001)\n",
    "print 'loss: %f' % (loss, )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n",
    "\n",
    "To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numerical: 2.529292 analytic: 2.529292, relative error: 2.261422e-10\n",
      "numerical: -4.751557 analytic: -4.751557, relative error: 1.218069e-11\n",
      "numerical: 8.259416 analytic: 8.259416, relative error: 2.616860e-11\n",
      "numerical: -27.648648 analytic: -27.648648, relative error: 8.852665e-13\n",
      "numerical: -15.538645 analytic: -15.538645, relative error: 3.633332e-12\n",
      "numerical: 10.756258 analytic: 10.756258, relative error: 3.380067e-11\n",
      "numerical: -33.779054 analytic: -33.779054, relative error: 5.141167e-12\n",
      "numerical: -19.617200 analytic: -19.617200, relative error: 5.940869e-12\n",
      "numerical: 9.920767 analytic: 9.920767, relative error: 1.723157e-11\n",
      "numerical: -51.362189 analytic: -51.362189, relative error: 7.723987e-12\n",
      "numerical: -16.184637 analytic: -16.184637, relative error: 1.233720e-11\n",
      "numerical: 15.359448 analytic: 15.359448, relative error: 1.122748e-11\n",
      "numerical: 4.504082 analytic: 4.504082, relative error: 9.801681e-11\n",
      "numerical: 10.811582 analytic: 10.778971, relative error: 1.510420e-03\n",
      "numerical: 32.333752 analytic: 32.330517, relative error: 5.002775e-05\n",
      "numerical: -6.956840 analytic: -6.956840, relative error: 1.323374e-11\n",
      "numerical: -0.669841 analytic: -0.669841, relative error: 2.186750e-10\n",
      "numerical: 7.283113 analytic: 7.283113, relative error: 3.934888e-11\n",
      "numerical: 10.732069 analytic: 10.732069, relative error: 2.607373e-11\n",
      "numerical: 29.386739 analytic: 29.386739, relative error: 1.193809e-11\n"
     ]
    }
   ],
   "source": [
    "# Once you've implemented the gradient, recompute it with the code below\n",
    "# and gradient check it with the function we provided for you\n",
    "\n",
    "# Compute the loss and its gradient at W.\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n",
    "\n",
    "# Numerically compute the gradient along several randomly chosen dimensions, and\n",
    "# compare them with your analytically computed gradient. The numbers should match\n",
    "# almost exactly along all dimensions.\n",
    "from cs231n.gradient_check import grad_check_sparse\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)\n",
    "\n",
    "# do the gradient check once again with regularization turned on\n",
    "# you didn't forget the regularization gradient did you?\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 1e2)\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 1e2)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inline Question 1:\n",
    "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? *Hint: the SVM loss function is not strictly speaking differentiable*\n",
    "\n",
    "**Your Answer:** *fill this in.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss: 8.988205e+00 computed in 0.136830s\n",
      "Vectorized loss: 8.988205e+00 computed in 0.009270s\n",
      "difference: -0.000000\n"
     ]
    }
   ],
   "source": [
    "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n",
    "# we will implement the gradient in a moment.\n",
    "tic = time.time()\n",
    "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.00001)\n",
    "toc = time.time()\n",
    "print 'Naive loss: %e computed in %fs' % (loss_naive, toc - tic)\n",
    "\n",
    "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n",
    "tic = time.time()\n",
    "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.00001)\n",
    "toc = time.time()\n",
    "print 'Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic)\n",
    "\n",
    "# The losses should match but your vectorized implementation should be much faster.\n",
    "print 'difference: %f' % (loss_naive - loss_vectorized)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss and gradient: computed in 0.130721s\n",
      "Vectorized loss and gradient: computed in 0.006997s\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n",
    "# of the loss function in a vectorized way.\n",
    "\n",
    "# The naive implementation and the vectorized implementation should match, but\n",
    "# the vectorized version should still be much faster.\n",
    "tic = time.time()\n",
    "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.00001)\n",
    "toc = time.time()\n",
    "print 'Naive loss and gradient: computed in %fs' % (toc - tic)\n",
    "\n",
    "tic = time.time()\n",
    "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.00001)\n",
    "toc = time.time()\n",
    "print 'Vectorized loss and gradient: computed in %fs' % (toc - tic)\n",
    "\n",
    "# The loss is a single number, so it is easy to compare the values computed\n",
    "# by the two implementations. The gradient on the other hand is a matrix, so\n",
    "# we use the Frobenius norm to compare them.\n",
    "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n",
    "print 'difference: %f' % difference"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic Gradient Descent\n",
    "\n",
    "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 1500: loss 795.399117\n",
      "iteration 100 / 1500: loss 288.714079\n",
      "iteration 200 / 1500: loss 108.560952\n",
      "iteration 300 / 1500: loss 42.595464\n",
      "iteration 400 / 1500: loss 18.997333\n",
      "iteration 500 / 1500: loss 10.656120\n",
      "iteration 600 / 1500: loss 6.929402\n",
      "iteration 700 / 1500: loss 5.976519\n",
      "iteration 800 / 1500: loss 5.684596\n",
      "iteration 900 / 1500: loss 5.568954\n",
      "iteration 1000 / 1500: loss 5.216600\n",
      "iteration 1100 / 1500: loss 5.179456\n",
      "iteration 1200 / 1500: loss 5.092397\n",
      "iteration 1300 / 1500: loss 5.056823\n",
      "iteration 1400 / 1500: loss 5.475147\n",
      "That took 7.381570s\n"
     ]
    }
   ],
   "source": [
    "# In the file linear_classifier.py, implement SGD in the function\n",
    "# LinearClassifier.train() and then run it with the code below.\n",
    "from cs231n.classifiers import LinearSVM\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=5e4,\n",
    "                      num_iters=1500, verbose=True)\n",
    "toc = time.time()\n",
    "print 'That took %fs' % (toc - tic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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VMAAAYGJmNB0gye8k2VZrffOIfXeOGvPOJO+ttV6ZJKWUi5PsSPKaJJ8spcxO8qYkF9Va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\nSaP/DzXQ8RZn/y2hAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f31cca55650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A useful debugging strategy is to plot the loss as a function of\n",
    "# iteration number:\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training accuracy: 0.367735\n",
      "validation accuracy: 0.384000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print 'training accuracy: %f' % (np.mean(y_train == y_train_pred), )\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print 'validation accuracy: %f' % (np.mean(y_val == y_val_pred), )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.000000e-07 reg 1.000000e+01 train accuracy: 0.311653 val accuracy: 0.314000\n",
      "lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.371653 val accuracy: 0.382000\n",
      "lr 1.000000e-06 reg 1.000000e+01 train accuracy: 0.368510 val accuracy: 0.370000\n",
      "lr 1.000000e-06 reg 5.000000e+04 train accuracy: 0.297959 val accuracy: 0.313000\n",
      "best validation accuracy achieved during cross-validation: 0.382000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.4 on the validation set.\n",
    "learning_rates = [1e-6, 1e-7]\n",
    "regularization_strengths = [1e1, 5e4]\n",
    "grid_search=[(x,y) for x in learning_rates for y in regularization_strengths]\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "for alpha, lamda in grid_search:\n",
    "    svm=LinearSVM()\n",
    "    svm.train(X_train, y_train, learning_rate=alpha, reg=lamda,\n",
    "             num_iters=2000)\n",
    "    y_pred_train = svm.predict(X_train)\n",
    "    y_pred_val = svm.predict(X_val)\n",
    "    training_accuracy =  np.mean(y_pred_train==y_train)\n",
    "    validation_accuracy = np.mean(y_pred_val==y_val)\n",
    "    results[alpha, lamda] = (training_accuracy,\n",
    "                            validation_accuracy)\n",
    "    if best_val < validation_accuracy:\n",
    "        best_val = validation_accuracy\n",
    "        best_svm = svm\n",
    "    \n",
    "################################################################################\n",
    "#                              END OF YOUR CODE                                #\n",
    "################################################################################\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print 'lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy)\n",
    "    \n",
    "print 'best validation accuracy achieved during cross-validation: %f' % best_val"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Problems with overflow\n",
    "\n",
    "If you choose different hyperparameters you might get overflow errors. Please visit [this page](https://www.reddit.com/r/cs231n/comments/41noqi/overflow_detected_while_training_linear_svm/) in case this happens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Vi4h4VdLepFWaTgLeAI6JiPKVnMzMzMzMWk1E1JQcOJGos4hoaOH8URXKHgH61i0oMzMz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f31cccdce50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.367000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print 'linear SVM on raw pixels final test set accuracy: %f' % test_accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UsMImFZtcuPWAtoJL7ydsKDFnQnwRND0wQDD6z+jQT3a7dIMXFuSM+mqQhHse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\nlqABAACyBA0AAJB1A3ivwW91enWnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f31cca55e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in xrange(10):\n",
    "  plt.subplot(2, 5, i + 1)\n",
    "    \n",
    "  # Rescale the weights to be between 0 and 255\n",
    "  wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "  plt.imshow(wimg.astype('uint8'))\n",
    "  plt.axis('off')\n",
    "  plt.title(classes[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inline question 2:\n",
    "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n",
    "\n",
    "**Your answer:** The SVM weights seem to have picked the dominant colour of each class. They are strictly dependent on the examples that the classifier has seen during training."
   ]
  }
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